Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.4 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Pozzo
1
68 kgMerlo
2
63 kgArredondo
5
58 kgBaliani
6
66 kgJang
7
64 kgEarle
8
70 kgLebas
9
65 kgHirai
11
63 kgToribio
12
64 kgOjavee
13
80 kgDoi
16
58 kgHatanaka
17
72 kgNakajima
19
64 kgNishitani
21
62 kgMonier
22
75 kgCrawford
23
59 kgFukuda
24
70 kgIribe
26
61 kgLewis
28
65 kgDe Negri
30
61 kgSai-udomsin
33
60 kgChoi
34
59 kg
1
68 kgMerlo
2
63 kgArredondo
5
58 kgBaliani
6
66 kgJang
7
64 kgEarle
8
70 kgLebas
9
65 kgHirai
11
63 kgToribio
12
64 kgOjavee
13
80 kgDoi
16
58 kgHatanaka
17
72 kgNakajima
19
64 kgNishitani
21
62 kgMonier
22
75 kgCrawford
23
59 kgFukuda
24
70 kgIribe
26
61 kgLewis
28
65 kgDe Negri
30
61 kgSai-udomsin
33
60 kgChoi
34
59 kg
Weight (KG) →
Result →
80
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POZZO Mattia | 68 |
| 2 | MERLO Michele | 63 |
| 5 | ARREDONDO Julián David | 58 |
| 6 | BALIANI Fortunato | 66 |
| 7 | JANG Chan Jae | 64 |
| 8 | EARLE Nathan | 70 |
| 9 | LEBAS Thomas | 65 |
| 11 | HIRAI Eiichi | 63 |
| 12 | TORIBIO José Vicente | 64 |
| 13 | OJAVEE Mart | 80 |
| 16 | DOI Yukihiro | 58 |
| 17 | HATANAKA Yusuke | 72 |
| 19 | NAKAJIMA Yasuharu | 64 |
| 21 | NISHITANI Taiji | 62 |
| 22 | MONIER Damien | 75 |
| 23 | CRAWFORD Jai | 59 |
| 24 | FUKUDA Shinpei | 70 |
| 26 | IRIBE Shotaro | 61 |
| 28 | LEWIS Craig | 65 |
| 30 | DE NEGRI Pier Paolo | 61 |
| 33 | SAI-UDOMSIN Phuchong | 60 |
| 34 | CHOI Ki Ho | 59 |